Dan Guo
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
Papers in ⓘ
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- Metaheuristic Optimization Algorithms Research 3
- Evolutionary Algorithms and Applications 2
- Machine Learning and ELM 1
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Yaochu Jin (3 shared papers)Handing Wang (1 shared paper)Kaisa Miettinen (1 shared paper)Tinkle Chugh (1 shared paper)Jinliang Ding (3 shared papers)Tianyou Chai (3 shared papers)Yun-Lin Wang (1 shared paper)Pengfei Wang (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (1 paper)Speech Communication (1 paper)Molecules (1 paper)IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)IEEE Transactions on Evolutionary Computation (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Dan Guo
7 papers receiving 766 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 540
- Artificial Intelligence 527
- Management Science and Operations Research 131
- Statistics, Probability and Uncertainty 37
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Dan Guo
This map shows the geographic impact of Dan Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Guo more than expected).
Fields of papers citing papers by Dan Guo
This network shows the impact of papers produced by Dan Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Guo. The network helps show where Dan Guo may publish in the future.
Co-authors
The 18 scholars most cited alongside Dan Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Data-Driven Evolutionary Optimization: An Overview and Case Studies Hit paper breakdown → | 2018 | 457 |
| 2 | 2018 | 178 | |
| 3 | 2021 | 121 | |
| 4 | 2022 | 15 | |
| 5 | 2015 | 7 | |
| 6 | 2019 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2021 | 0 |
About Dan Guo
Dan Guo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 8 papers that have together received 781 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Evolutionary Algorithms and Applications (2 papers), Advanced Adaptive Filtering Techniques (1 paper), Speech and Audio Processing (1 paper), Remote-Sensing Image Classification (1 paper), Face and Expression Recognition (1 paper) and Machine Learning and ELM (1 paper). The work is most often cited by research in Computational Theory and Mathematics (540 citations), Artificial Intelligence (527 citations), Management Science and Operations Research (131 citations), Statistics, Probability and Uncertainty (37 citations) and Industrial and Manufacturing Engineering (47 citations). Dan Guo has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yaochu Jin, Handing Wang, Kaisa Miettinen, Tinkle Chugh, Jinliang Ding, Tianyou Chai, Yun-Lin Wang, Pengfei Wang, Huazhong Zhang and Beilei Yuan. Their work appears in journals such as IEEE Transactions on Cybernetics, Speech Communication, Molecules, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Evolutionary Computation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.